I am an AI forward-deployed engineer focused on turning complex operational problems into scalable production systems for fast-growing companies. At a Y Combinator scale-up, I architected AI agent infrastructure for DAX giants and global enterprises, taking $10M level challenges from concept to delivery with a strong engineering and customer success mindset. I previously led solution design and delivery for telematics and IoT projects in the DACH region, shaping scalable GNSS and IoT deployment practices. I also worked on process automation and business analytics, including building a location scoring algorithm for charging infrastructure and coordinating data migrations to ServiceNow. Beyond engineering, I enjoy teaching and mentoring. I led a six-member software development lifecycle project as a Teaching Assistant at LMU Munich, guided students end to end, and mentored and graded submissions.
Experience
AI Forward Deployed Engineer
Lio (Y combinator Summer 2023)Mar 2026 – Present
Building at the intersection of engineering and customer success for one of Y Combinator’s fastest-growing scale-ups. Architecting AI Agent infrastructure for DAX giants and global enterprises, turning complex operational hurdles into scalable production reality.
Solutions Engineer
TeltonikaNov 2025 – Mar 2026
First Solutions Engineer for DACH, leading solution design and delivery of telematics and IoT projects for major fleet clients. Architecting integrations, guiding implementations, and shaping scalable GNSS/IoT deployment practices.
Teaching Assistant (Software engineering)
LMU MunichApr 2025 – Jul 2025
Led a six-member team through the full software development lifecycle, from requirements gathering and sprint planning to successful delivery. Mentored students and graded student code submissions.
Business Development and Process Automation Analyst (Part time)
Jolt EnergyAug 2024 – Oct 2025
Analyzed and automated the strategic evaluation of prospective charging locations by developing a scoring algorithm and presenting the analysis to executives and investors. Coordinated data migration to ServiceNow.
Research Assistant
LMU x SAPApr 2024 – Aug 2024
Worked on a university quantum computing research project focused on MNIST database image classification. Optimized results using quantum gates and annealing, implementing a QCNN approach along with PCA and a loss function.
Full-stack developer & Scrum Master (Part time)
Efahrer.com (Burda Forward)Apr 2023 – Aug 2024
Maintained and implemented new functionalities for the Carfeed platform, including SEO optimization, front-end design, and API endpoint development. Facilitated sprint planning and development cycles as a Scrum Master.
Operations Analyst (Part time)
HolidayCheck Group AGSep 2022 – Mar 2023
Performed data analysis of various portfolios and financial data using Sunnyclient, Sage, and Microsoft Excel.
Education
Masters degree in Computer Science with specialisation in AI, and Human-computer interaction, Computer Science (AI; Human-computer interaction)
Apr 2025 – Present
Specialisation in AI and Human-computer interaction.
Bachelors degree in Computer Science and Computational Linguistics, Computer Science and Computational Linguistics
Apr 2022 – Mar 2025
Seminar research papers on Process Mining Notations and Information Retrieval. Bachelor thesis on the viability of LLMs to improve prediction-based inference.
Feststellungsprüfung (FSP) in German (C1), Physics, Mathematics, Computer science and Chemistry, German (C1), Physics, Mathematics, Computer Science, Chemistry
Sep 2020 – Sep 2021
Preparatory course culminating in Feststellungsprüfung (FSP) covering German (C1) plus Physics, Mathematics, Computer science, and Chemistry.
Feststellungsprüfung (FSP) in German (C1), Physics, Mathematics, Computer science and Chemistry
Sep 2020 – Sep 2021
Feststellungsprüfung (FSP) in German (C1) covering Physics, Mathematics, Computer science and Chemistry.
Skills
Languages
- English
- Native or bilingual proficiency
- German
- Full professional proficiency
- French
- Elementary proficiency